SantiMor05/Indusmatica
Oct 2025 – Oct 2025
1 Month active
Languages Used
C++CMake
Technical Skills
Algorithm DesignC++CMakeGraph Theory
Fabrizio Verne
PROFILE
Fabrizio Verne
Developed two key features for the SantiMor05/Indusmatica repository, focusing on algorithm education and tooling. Delivered a C++ map coloring program that applies a greedy coloring algorithm using country structures and adjacency lists, producing minimum color counts and explicit color assignments to support visual validation and learning in graph theory. Additionally, contributed a Lab 3-2025_2 course material PDF to the AlgoritmosAvanzados curriculum, enhancing resource accessibility for students in the upcoming semester. Demonstrated proficiency in C++, CMake, and algorithm design, while maintaining clear commit traceability and source control discipline throughout the development process. No major bugs were reported.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
2
Lines of code
3,382
Activity Months1
Your Network
80 peopleWork History
October 2025
2 Commits • 2 Features
Oct 1, 2025Concise Monthly Summary for 2025-10 – Developer: Indusmatica focus (SantiMor05/Indusmatica) Key deliverables: - Map Coloring Program (C++): Implemented a greedy coloring algorithm with country structures and adjacency lists. The tool outputs a minimum color count and color assignments for map coloring, enabling visual validation and algorithmic education. Commit f8ae4ce6ade7894b53204573118ecb17bdc3f56f (Colorear paises insanos). - Lab 3-2025_2 Course Material PDF: Added Lab 3-2025_2 PDF to AlgoritmosAvanzados course materials to support students for the second semester 2025. Commit 6f61f2229225f7f33c25184ba34ac36871ba0aa8 (Add files via upload). Major bugs fixed: - No major bugs documented in the provided data for this period. Overall impact and accomplishments: - Strengthened educational value by delivering a practical graph coloring tool and enhancing course resources, enabling hands-on learning and faster onboarding for students. The map coloring program demonstrates practical algorithmic thinking (greedy coloring, adjacency lists, and data structures), while the PDF addition improves content accessibility for the upcoming semester. - Clear traceability to commits supports accountability and audits of delivered work. Technologies/skills demonstrated: - C++ development, data structures (country structures, adjacency lists), and greedy graph coloring algorithm. - Source control discipline with specific commit references; contribution to a single repository focused on algorithm education and tooling.
2 Commits • 2 Features
Oct 1, 2025Concise Monthly Summary for 2025-10 – Developer: Indusmatica focus (SantiMor05/Indusmatica) Key deliverables: - Map Coloring Program (C++): Implemented a greedy coloring algorithm with country structures and adjacency lists. The tool outputs a minimum color count and color assignments for map coloring, enabling visual validation and algorithmic education. Commit f8ae4ce6ade7894b53204573118ecb17bdc3f56f (Colorear paises insanos). - Lab 3-2025_2 Course Material PDF: Added Lab 3-2025_2 PDF to AlgoritmosAvanzados course materials to support students for the second semester 2025. Commit 6f61f2229225f7f33c25184ba34ac36871ba0aa8 (Add files via upload). Major bugs fixed: - No major bugs documented in the provided data for this period. Overall impact and accomplishments: - Strengthened educational value by delivering a practical graph coloring tool and enhancing course resources, enabling hands-on learning and faster onboarding for students. The map coloring program demonstrates practical algorithmic thinking (greedy coloring, adjacency lists, and data structures), while the PDF addition improves content accessibility for the upcoming semester. - Clear traceability to commits supports accountability and audits of delivered work. Technologies/skills demonstrated: - C++ development, data structures (country structures, adjacency lists), and greedy graph coloring algorithm. - Source control discipline with specific commit references; contribution to a single repository focused on algorithm education and tooling.
October 2025
Activity
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Quality Metrics
Correctness90.0%
Maintainability90.0%
Architecture90.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++CMake
Technical Skills
Algorithm DesignC++CMakeGraph Theory
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